Ordinary Least Squares Linear Regression Task

An Ordinary Least Squares Linear Regression Task is a Least Squares Linear Regression Task that minimizes the sum of squared distances between the observed response variables.

• AKA: Un-Regularized Linear Least Squares Regression Task.
• Context:
  • It can be solved by an Ordinary Least Squares Linear Regression System that implements an Ordinary Least Squares Linear Regression Algorithm.
• Example(s):
  • …
• Counter-Example(s):
  • an Ordinary Least Squares Non-Linear Regression Task.
  • a Generalized Least Squares Task.
• See: Convex Optimization Algorithm, Gradient Descent Algorithm, Stochastic Gradient Descent Algorithm, Mini-Batch Learning Algorithm.

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References

2014

• https://sebastianraschka.com/faq/docs/closed-form-vs-gd.html
  • QUOTE: Fitting a model via closed-form equations vs. Gradient Descent vs Stochastic Gradient Descent vs Mini-Batch Learning. What is the difference?

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